You can use autopep8! Whilst you make yourself a cup of coffee this tool happily removes all those pesky PEP8 violations which don't change the meaning of the code.
Install it via pip:
pip install autopep8
Apply this to a specific file:
autopep8 py_file --in-place
or to your project (recursively), the verbose option gives you some feedback of how it's going:
autopep8 project_dir --recursive --in-place --pep8-passes 2000 --verbose
Note: Sometimes the default of 100 passes isn't enough, I set it to 2000 as it's reasonably high and will catch all but the most troublesome files (it stops passing once it finds no resolvable pep8 infractions)...
At this point I suggest retesting and doing a commit!
If you want "full" PEP8 compliance: one tactic I've used is to run autopep8 as above, then run PEP8, which prints the remaining violations (file, line number, and what):
pep8 project_dir --ignore=E501
and manually change these individually (e.g. E712s - comparison with boolean).
Note: autopep8 offers an --aggressive
argument (to ruthlessly "fix" these meaning-changing violations), but beware if you do use aggressive you may have to debug... (e.g. in numpy/pandas True == np.bool_(True)
but not True is np.bool_(True)
!)
You can check how many violations of each type (before and after):
pep8 --quiet --statistics .
Note: I consider E501s (line too long) are a special case as there will probably be a lot of these in your code and sometimes these are not corrected by autopep8.
As an example, I applied this technique to the pandas code base.
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